Applying machine learning techniques to bioinformatics: few-shot and zero-shot methods
Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists' ability to unlock cr...
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| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in bioinformatics and biomedical engineering (ABBE) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists' ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges.The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences. |
| Beschreibung: | 1 Online-Ressource (xx, 398 Seiten) Illustrationen |
| ISBN: | 9798369318232 |
| DOI: | 10.4018/979-8-3693-1822-5 |
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| index_date | 2024-07-03T23:39:47Z |
| indexdate | 2024-12-17T19:01:37Z |
| institution | BVB |
| isbn | 9798369318232 |
| language | English |
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| series2 | Advances in bioinformatics and biomedical engineering (ABBE) book series |
| spelling | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods Umesh Kumar Lilhore, Abhishek Kumar, Sarita Simaiya, Narayan Vyas, Vishal Dutt, editors Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xx, 398 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in bioinformatics and biomedical engineering (ABBE) book series Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists' ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges.The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences. Bioinformatics Machine learning Lilhore, Umesh Kumar (DE-588)1326925016 edt Kumar, Abhishek edt Simaiya, Sarita edt Vyas, Narayan edt Dutt, Vishal edt Erscheint auch als Druck-Ausgabe 979-8-3693-1822-5 https://doi.org/10.4018/979-8-3693-1822-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods Bioinformatics Machine learning |
| title | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods |
| title_auth | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods |
| title_exact_search | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods |
| title_exact_search_txtP | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods |
| title_full | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods Umesh Kumar Lilhore, Abhishek Kumar, Sarita Simaiya, Narayan Vyas, Vishal Dutt, editors |
| title_fullStr | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods Umesh Kumar Lilhore, Abhishek Kumar, Sarita Simaiya, Narayan Vyas, Vishal Dutt, editors |
| title_full_unstemmed | Applying machine learning techniques to bioinformatics few-shot and zero-shot methods Umesh Kumar Lilhore, Abhishek Kumar, Sarita Simaiya, Narayan Vyas, Vishal Dutt, editors |
| title_short | Applying machine learning techniques to bioinformatics |
| title_sort | applying machine learning techniques to bioinformatics few shot and zero shot methods |
| title_sub | few-shot and zero-shot methods |
| topic | Bioinformatics Machine learning |
| topic_facet | Bioinformatics Machine learning |
| url | https://doi.org/10.4018/979-8-3693-1822-5 |
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